Date:         Thu, 20 Jan 2005 14:11:29 -0500
Reply-To:     Richard Ristow <wrristow@mindspring.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Richard Ristow <wrristow@mindspring.com>
Subject:      Re: How to graph outliers etc.
Comments: To: Martha Moore <marthamoore@naxs.com>
Content-Type: text/plain; charset="us-ascii"; format=flowed

Repeating, with a little more information (my machine's feeling
better):

At 07:25 PM 1/19/2005, Martha Moore wrote:
>Let's say I have data like this:
>
>Public School/ Private School/School size/   then  Books read per
>year  Cost of attending
>
>Code for Public/Private and School size categories. numbers for books
>read and cost etc. How can I plot or graph this to show central
>tendencies and outliers?

>>Previous:
>>Very quickly: try command "Examine", from the "Analyze" menu.

Specifically, Analyze/Descriptive Statistics/Explore.

WATCH OUT! The syntax command is "Examine"; the menu entry is
"Explore".

This is syntax I clicked up and recovered from the SPSS journal
(remember the journal?):

EXAMINE
  VARIABLES=hv_rtn BY mob_educ /ID= mom_unq
  /PLOT BOXPLOT
  /COMPARE GROUP
  /STATISTICS DESCRIPTIVES
  /CINTERVAL 95
  /MISSING LISTWISE
  /NOTOTAL.

Remarks:
A. In "Plots", I un-checked "Stem-and-leaf" under "Descriptive"; it's
checked by default. (It produces a printer-graphics plot that I don't
find useful; but stem-and-leaf plots are well thought of in by some
knowledgeable people.)
B. Subcommand "/STATISTICS DESCRIPTIVES" gives a long table of
statistics for each category; it may be 'more than you want to know'.
The second statistical column, where given, is the standard error of
estimate. I've edited it; it's a lot more compact than the original:

Mean                 |12.8533  |.5675  |
5% Trimmed Mean      |11.9797  |       |
Median               |5.7167   |       |
Variance             |203.567  |       |
Std. Deviation       |14.2677  |       |
Minimum              |.00      |       |
Maximum              |42.60    |       |
Range                |42.60    |       |
Interquartile Range  |20.2583  |       |
Skewness             |.956     |.097   |
Kurtosis             |-.643    |.194   |